Micheline Beaulieu
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Information Systems and Management top 10%
- Co-authors
- Ricardo Baeza‐YatesSung Hyon MyaengKalervo JärvelinStephen RobertsonEdie RasmussenMark SandersonSusan JonesDaniela Petrelli
- Topics
- Information Retrieval and Search Behavior (13 papers)Expert finding and Q&A systems (5 papers)Semantic Web and Ontologies (5 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Micheline Beaulieu
20 papers receiving 539 citations
Peers
Comparison fields: 5 of 66
- Information Systems 366
- Artificial Intelligence 329
- Computer Vision and Pattern Recognition 90
- Signal Processing 55
- Information Systems and Management 49
Countries citing papers authored by Micheline Beaulieu
This map shows the geographic impact of Micheline Beaulieu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Micheline Beaulieu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Micheline Beaulieu more than expected).
Fields of papers citing papers by Micheline Beaulieu
This network shows the impact of papers produced by Micheline Beaulieu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Micheline Beaulieu. The network helps show where Micheline Beaulieu may publish in the future.
Co-authorship network of co-authors of Micheline Beaulieu
This figure shows the co-authorship network connecting the top 25 collaborators of Micheline Beaulieu. A scholar is included among the top collaborators of Micheline Beaulieu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Micheline Beaulieu. Micheline Beaulieu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | 38 | |
| 4 | 15 | |
| 5 | Is query translation a distinct task from search | 1 |
| 6 | Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval | 252 |
| 7 | 2 | |
| 8 | 39 | |
| 9 | 6 | |
| 10 | 29 | |
| 11 | 41 | |
| 12 | 6 | |
| 13 | 32 | |
| 14 | 8 | |
| 15 | 4 | |
| 16 | 43 | |
| 17 | 7 | |
| 18 | 34 | |
| 19 | 10 | |
| 20 | 1 |
About Micheline Beaulieu
Micheline Beaulieu is a scholar working on Information Systems, Human-Computer Interaction and Museology, having authored 20 papers that have together received 586 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (13 papers), Expert finding and Q&A systems (5 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Information Systems (366 citations), Artificial Intelligence (329 citations) and Information Systems and Management (49 citations). Micheline Beaulieu has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Ricardo Baeza‐Yates, Sung Hyon Myaeng, Kalervo Järvelin, Stephen Robertson, Edie Rasmussen, Mark Sanderson, Susan Jones, Daniela Petrelli, Hideo Joho and Christine L. Borgman. Their work appears in journals such as Scientometrics, Interacting with Computers and Journal of Documentation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.